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LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode
He, Shaoyang1,2; Habte, Bereket Tsegai1,2; Jiang, Fangming1
2016-11-15
发表期刊SOLID STATE IONICS
卷号296页码:146-153
摘要Numerical models play a vital role in the developing and performance optimization of lithium-ion batteries. The key factor to the prediction accuracy of macro-scale models is the specification of effective transport properties. This study, based on the anisotropic microstructure of graphite anode reconstructed by an ellipsoid-based simulated annealing method (SAM), established a mesoscopic model of diffusion process to predict the effective electric and species transport properties of lithium-ion battery graphite anode via lattice-Boltzmann (LB) method. The effect of particle size on the transport properties of graphite anode was discussed in detail. In the electrode through-plane direction, if the ellipsoidal particles are thinner and flatter, both the effective electric and species transport properties decrease; in the other two directions, the effective electronic charge transport properties barely change with the change of particle size while the effective species transport properties increase along with the increase of the size of particles. In addition, to get a more accurate replica of the real graphite anode, we assumed the sizes of solid particles follow a normal distribution and reconstructed the microstructure of electrode. The LB calculation results reveal that the normal distribution of particle size increases the electronic charge conductivity in the electrode through-plane direction and decreases in the other two directions, compared to the electrode of constant-sized particles; the effective species diffusivities (or ionic charge conductivities) in electrode through-plane direction for different microstructures are closer. (C) 2016 Elsevier B.V. All rights reserved.
文章类型Article
关键词Lithium-ion Battery Graphite Anode Lattice-boltzmann Modeling Effective Transport Property Simulated Annealing Method
WOS标题词Science & Technology ; Physical Sciences
DOI10.1016/j.ssi.2016.09.021
研究领域[WOS]Chemistry ; Physics
关键词[WOS]POROUS-MEDIA ; MICROSTRUCTURE ; RECONSTRUCTION ; CELLS ; MODEL ; PERFORMANCE ; CATHODE ; SYSTEMS ; ELECTRODEPOSITION ; OPTIMIZATION
收录类别SCI
语种英语
项目资助者Natural Science Foundation of Guangdong Province(2015A030308019 ; Science and Technology Plan of Guangzhou(2014J4100217) ; "100 Talents Plan" project of the Chinese Academy of Sciences ; 2016A030313172)
WOS类目Chemistry, Physical ; Physics, Condensed Matter
WOS记录号WOS:000386743400021
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.giec.ac.cn/handle/344007/13904
专题中国科学院广州能源研究所
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy, Lab Adv Energy Syst, Guangzhou 510640, Guangdong, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位中国科学院广州能源研究所
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He, Shaoyang,Habte, Bereket Tsegai,Jiang, Fangming. LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode[J]. SOLID STATE IONICS,2016,296:146-153.
APA He, Shaoyang,Habte, Bereket Tsegai,&Jiang, Fangming.(2016).LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode.SOLID STATE IONICS,296,146-153.
MLA He, Shaoyang,et al."LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode".SOLID STATE IONICS 296(2016):146-153.
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